• Lead the design and implementation of end-to-end data architectures supporting complex client implementations. • Develop and maintain conceptual, logical, and physical data models across multiple systems and platforms. • Architect and document source-to-target mappings, transformation logic, and data lineage across heterogeneous data models. • Ensure data solutions align with scalability, performance, security, and governance best practices. • Serve as the primary data architecture lead during client onboarding and implementation engagements. • Facilitate client workshops, discovery sessions, and data mapping reviews. • Present architecture designs, data flows, and implementation strategies to technical and non-technical client audiences. • Act as a trusted technical advisor, clearly articulating design options, trade-offs, and recommendations. • Design and implement cloud-native data solutions on Amazon Web Services (AWS). • Leverage AWS services such as S3, EMR, Glue, Athena, Redshift, EC2, Lambda, and related components to build scalable data pipelines.